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VIN Lookup / Vehincle Info Grabber - Java Practice

This a simple example of how to use AutoDock Vina and AutoDock Tools to run a molecular docking of 3O4D (Protein) and TRS (ligand).

I created a C++ program for managing a linked list of cars, featuring functions for adding, removing, finding, and updating car information. Utilized unique vehicle identification numbers (VINs) and maintained alphabetical ordering by make and model. Implemented a user-friendly command-line interface for seamless interaction.

This site views vinyl in a marco way. As you select the vinyl you wish to see, you get to view the unique texture each vinyl holds. Overall the design is simple with a focus of texture and vinyl shapes.

micro-interactions-VinnyVanhoutte created by GitHub Classroom

This site views vinyl in a marco way. As you select the vinyl you wish to see, you get to view the unique texture each vinyl holds. Overall the design is simple with a focus of texture and vinyl shapes.

micro-interactions-vinnikalessia created by GitHub Classroom

An advanced Python-based workflow integrating AutoDock Vina for molecular docking and PLIP for detailed protein–ligand interaction profiling. Automates preparation, docking, scoring, and post-analysis to deliver robust, reproducible structure-based drug discovery results.

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A real-time AI Voice Agent for AutoZone service built with LiveKit, Google Gemini Multimodal API, Flask, and React. Features include natural voice interaction, car VIN lookup, and appointment booking with a persistent SQLite database.

Python script that analyzes customer re-entries (VINs), identifies cross-branch movements, and filters out internal records (INTERNA) to isolate real service visits. It highlights true multi-branch behavior and improves understanding of customer mobility and branch interactions.